activity
20202024
most citedAnonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis

34 citations · 46 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DL2024

Automatic Recognition of Learning Resource Category in a Digital Library

Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay +2

Digital libraries often face the challenge of processing a large volume of diverse document types. The manual collection and tagging of metadata can be a time-consuming and error-p…

eess.SP2023★ 3 cited

Performance Analysis of Fixed Broadband Wireless Access in mmWave Band in 5G

Soumya Banerjee, Sarada Prasad Gochhayat, Sachin Shetty

An end-to-end fiber-based network holds the potential to provide multi-gigabit fixed access to end-users. However, deploying fiber access, especially in areas where fiber is non-ex…

cs.LG2023★ 34 cited

Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis

Ying Wang, Shashank Jere, Soumya Banerjee +3

Jamming and intrusion detection are critical in 5G research, aiming to maintain reliability, prevent user experience degradation, and avoid infrastructure failure. This paper intro…

cs.LG2023★ 1 cited

VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference

Soumya Banerjee, Vinay K. Verma, Avideep Mukherjee +3

Lifelong learning or continual learning is the problem of training an AI agent continuously while also preventing it from forgetting its previously acquired knowledge. Streaming li…

cs.LG2023

Streaming LifeLong Learning With Any-Time Inference

Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri

Despite rapid advancements in lifelong learning (LLL) research, a large body of research mainly focuses on improving the performance in the existing \textit{static} continual learn…

cs.LG2021

Class Incremental Online Streaming Learning

Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag +2

A wide variety of methods have been developed to enable lifelong learning in conventional deep neural networks. However, to succeed, these methods require a `batch' of samples to b…

cs.CL2020★ 8 cited

Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data

Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay +2

The abstract of a scientific paper distills the contents of the paper into a short paragraph. In the biomedical literature, it is customary to structure an abstract into discourse…